Comprehensive Course Structure and Academic Framework
The Engineering program at Sai Nath University Ranchi is structured to provide a comprehensive and progressive learning experience that spans four years of rigorous academic pursuit. The curriculum is designed to build upon foundational knowledge while progressively introducing advanced concepts and specialized skills in various engineering disciplines.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG104 | Introduction to Engineering | 2-0-0-2 | None |
| 1 | ENG105 | Computer Programming | 2-0-2-3 | None |
| 1 | ENG106 | Engineering Drawing | 1-0-3-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Engineering Mechanics | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Electrical Circuits and Networks | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Engineering Materials | 3-1-0-4 | ENG103 |
| 2 | ENG205 | Data Structures and Algorithms | 2-0-2-3 | ENG105 |
| 2 | ENG206 | Workshop Practice | 0-0-4-2 | None |
| 3 | ENG301 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Digital Electronics | 3-1-0-4 | ENG203 |
| 3 | ENG303 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG304 | Thermodynamics | 3-1-0-4 | ENG202 |
| 3 | ENG305 | Computer Organization and Architecture | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Control Systems | 3-1-0-4 | ENG303 |
| 4 | ENG401 | Linear Algebra and Differential Equations | 3-1-0-4 | ENG201 |
| 4 | ENG402 | Electromagnetic Fields | 3-1-0-4 | ENG203 |
| 4 | ENG403 | Fluid Mechanics and Hydraulic Machines | 3-1-0-4 | ENG202 |
| 4 | ENG404 | Design and Analysis of Algorithms | 3-1-0-4 | ENG205 |
| 4 | ENG405 | Power Electronics | 3-1-0-4 | ENG203 |
| 4 | ENG406 | Manufacturing Processes | 3-1-0-4 | ENG204 |
| 5 | ENG501 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Embedded Systems | 3-1-0-4 | ENG302 |
| 5 | ENG503 | Communication Systems | 3-1-0-4 | ENG303 |
| 5 | ENG504 | Heat Transfer | 3-1-0-4 | ENG304 |
| 5 | ENG505 | Computer Networks | 3-1-0-4 | ENG305 |
| 5 | ENG506 | Operations Research | 3-1-0-4 | ENG301 |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG306 |
| 6 | ENG602 | Renewable Energy Systems | 3-1-0-4 | ENG404 |
| 6 | ENG603 | Machine Learning and Data Mining | 3-1-0-4 | ENG501 |
| 6 | ENG604 | Advanced Manufacturing Processes | 3-1-0-4 | ENG406 |
| 6 | ENG605 | Project Management | 3-1-0-4 | ENG506 |
| 6 | ENG606 | Nanotechnology and Materials Science | 3-1-0-4 | ENG404 |
| 7 | ENG701 | Advanced Embedded Systems | 3-1-0-4 | ENG502 |
| 7 | ENG702 | Biomedical Instrumentation | 3-1-0-4 | ENG503 |
| 7 | ENG703 | Advanced Power Electronics | 3-1-0-4 | ENG405 |
| 7 | ENG704 | Artificial Intelligence and Robotics | 3-1-0-4 | ENG603 |
| 7 | ENG705 | Advanced Fluid Dynamics | 3-1-0-4 | ENG403 |
| 7 | ENG706 | Research Methodology | 3-1-0-4 | ENG501 |
| 8 | ENG801 | Capstone Project I | 0-0-6-6 | ENG706 |
| 8 | ENG802 | Capstone Project II | 0-0-6-6 | ENG801 |
| 8 | ENG803 | Professional Ethics and Social Responsibility | 2-0-0-2 | None |
| 8 | ENG804 | Entrepreneurship and Innovation | 2-0-0-2 | None |
Advanced Departmental Elective Courses
The department offers several advanced departmental elective courses designed to provide students with specialized knowledge in emerging fields. These courses are taught by leading faculty members who are actively involved in cutting-edge research and industry collaborations.
Artificial Intelligence and Machine Learning
This course provides comprehensive coverage of artificial intelligence principles, machine learning algorithms, deep learning architectures, and neural networks. Students learn to design and implement AI systems for various applications including computer vision, natural language processing, and robotics. The course emphasizes practical implementation using Python, TensorFlow, and PyTorch frameworks. Through hands-on projects, students develop expertise in data preprocessing, model training, evaluation techniques, and deployment strategies.
Cybersecurity and Information Assurance
This advanced elective focuses on cybersecurity principles, network security, cryptography, and information assurance. Students gain knowledge of threat analysis, vulnerability assessment, security protocols, and incident response procedures. The course covers both theoretical concepts and practical applications including penetration testing, secure coding practices, and risk management strategies.
Power Systems and Renewable Energy
This course explores modern power systems, renewable energy integration, smart grid technologies, and sustainable energy solutions. Students learn about power generation, transmission, distribution, and control systems in the context of renewable energy sources. The curriculum includes practical aspects such as energy storage systems, microgrids, and environmental impact assessment.
Control Systems and Automation
This elective delves into advanced control system design, automation technologies, and industrial applications. Students study feedback control systems, state-space methods, digital control, and process control. The course emphasizes practical implementation through laboratory experiments and simulation tools.
Nanotechnology and Materials Science
This course provides in-depth knowledge of nanoscale materials, their properties, synthesis methods, and applications. Students explore quantum mechanics, surface science, molecular dynamics, and advanced characterization techniques. The curriculum includes hands-on experience with nanofabrication tools and materials testing equipment.
Biomedical Engineering
This interdisciplinary course combines principles of engineering with biological sciences to develop medical devices and healthcare solutions. Students learn about biomedical instrumentation, biomaterials, tissue engineering, and medical imaging systems. The course emphasizes design thinking and regulatory compliance in medical device development.
Aerospace Engineering
This elective focuses on aerospace vehicle design, aerodynamics, propulsion systems, and orbital mechanics. Students study aircraft performance, flight dynamics, spacecraft design, and navigation systems. The curriculum includes practical aspects such as wind tunnel testing, flight simulation, and spacecraft mission planning.
Industrial Engineering and Operations Research
This course covers optimization techniques, quality control, supply chain management, and process improvement methods. Students learn to apply mathematical models and analytical tools to solve complex business problems and improve operational efficiency. The curriculum includes case studies from various industries and hands-on experience with simulation software.
Project-Based Learning Philosophy
The department's approach to project-based learning is deeply rooted in the belief that practical application of theoretical knowledge is essential for developing competent engineers. This philosophy emphasizes hands-on experience, interdisciplinary collaboration, and real-world problem-solving throughout the academic journey.
Mini-Projects Structure
Mini-projects are integrated into the curriculum from the second year onwards, with each project designed to address specific learning objectives while providing students with practical skills. These projects typically span 4-6 weeks and require students to work in teams of 3-5 members under faculty supervision.
Each mini-project follows a structured methodology that includes problem identification, literature review, design planning, implementation, testing, and documentation. Students are required to present their findings at mid-term and final evaluation stages, developing both technical and presentation skills.
Final-Year Thesis/Capstone Project
The final-year thesis or capstone project represents the culmination of a student's engineering education, requiring them to demonstrate comprehensive knowledge and practical application of engineering principles. These projects are typically undertaken in collaboration with industry partners or research institutions, ensuring relevance to current market needs.
Students select their projects based on personal interests, career aspirations, and faculty expertise. The selection process involves consultation with academic advisors, industry mentors, and project supervisors who help align student interests with available opportunities and research directions.
Evaluation Criteria
Projects are evaluated based on multiple criteria including technical competence, innovation, teamwork, presentation quality, and documentation standards. The evaluation process involves both faculty assessment and peer review to ensure comprehensive feedback and learning outcomes.